Chapter 31 — Structured Learning Roadmaps: 7, 14, 30 & 60-Day Schedules

Alag-alag timelines, career goals, aur experience levels ke liye design kiye gaye chaar structured learning roadmaps:

• 7-Day Crash Course: Core querying, CRUD, aur basic reporting.
• 14-Day Practical Course: Backend engineers aur data analysts ke liye developer-level SQL.
• 30-Day Professional Course: Subqueries, CTEs, views, aur normalization samet comprehensive coverage.
• 60-Day Mastery Course: Database architecture, B-Tree internals, query optimization, concurrency, aur enterprise security.

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1. The 7-Day Intensive Crash Course

Un professionals ke liye designed jinhe interviews ya workplace reporting ke liye immediate querying proficiency chahiye.

Day	Focus Topic	Study Time	Practice Tasks	Core Queries to Write	Revision & Mini-Challenge
Day 1	RDBMS Fundamentals, Database Setup, SELECT & Column Aliasing	2.5 hrs	sql_mastery schema initialize karein; DESCRIBE ke through table definitions inspect karein.	SELECT first_name, last_name, salary FROM employees;	Challenge: Column aliases ke saath har customer ka full name aur email project karein.
Day 2	Filtering Data (WHERE, Operators, BETWEEN, IN, LIKE)	2.5 hrs	Numbers, dates, wildcards, aur strings par filtering practice karein.	SELECT * FROM products WHERE unit_price BETWEEN 100 AND 500 AND stock_quantity > 10;	Challenge: IS NULL ka use karke un sabhi customers ko find karein jinka email .com par end hota hai aur state NULL hai.
Day 3	Sorting, Pagination & Distinct Values (ORDER BY, LIMIT, DISTINCT)	2.0 hrs	Multi-column sorting aur offset-based pagination practice karein.	SELECT DISTINCT country FROM customers ORDER BY country ASC LIMIT 5 OFFSET 2;	Challenge: Department 1 mein top 3 highest-earning employees retrieve karein.
Day 4	Essential Scalar & Aggregate Functions (COUNT, SUM, AVG, String & Date)	3.0 hrs	Payroll metrics calculate karein; dates format karein aur strings manipulate karein.	SELECT COUNT(*), ROUND(AVG(salary), 2), SUM(salary) FROM employees;	Challenge: Sabhi customers ke liye registration date aur aaj ke beech elapsed days calculate karein.
Day 5	Grouping & Filtering Groups (GROUP BY & HAVING)	3.0 hrs	Categories aur departments ke across metrics aggregate karein; HAVING se groups filter karein.	SELECT department_id, COUNT(*), AVG(salary) FROM employees GROUP BY department_id HAVING COUNT(*) >= 2;	Challenge: Orders ko customer_id ke according group karein aur total spend > $500 wale customers find karein.
Day 6	Relational Joins (INNER JOIN, LEFT JOIN, Self JOIN)	3.5 hrs	customers ko orders se, orders ko order_items se, aur employees ko managers se join karein.	SELECT c.first_name, o.order_id, o.total_amount FROM customers c JOIN orders o ON c.customer_id = o.customer_id;	Challenge: Ek Anti-Join likhein jo un sabhi customers ko find kare jinhone kabhi order place nahi kiya.
Day 7	Basic Subqueries & Synthesis Capstone Project	3.5 hrs	WHERE mein scalar subqueries use karein; Project 1 (Student Management System) complete karein.	SELECT * FROM products WHERE unit_price > (SELECT AVG(unit_price) FROM products);	Challenge: Customers, orders, line items, aur products ko join karne wali complete 4-table invoice report build karein.

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2. The 14-Day Practical Course

Application-layer queries aur analytical reports likhne wale software engineers aur data practitioners ke liye designed.

• Day 1 — Architecture & DDL Foundations: RDBMS concepts, table structures, CREATE TABLE, DROP, TRUNCATE. (2 hrs)
• Day 2 — Data Types & Storage: INT, VARCHAR, DECIMAL, DATETIME, TIMESTAMP, aur ENUM ki detailed understanding. (2 hrs)
• Day 3 — Integrity Constraints: PRIMARY KEY, FOREIGN KEY, NOT NULL, UNIQUE, aur CHECK implement karna. (2.5 hrs)
• Day 4 — CRUD Operations: Safe update modes ke saath INSERT (bulk & explicit), UPDATE, aur DELETE master karna. (2.5 hrs)
• Day 5 — Advanced Filtering: Three-valued logic (3VL), IS NULL, BETWEEN, IN, LIKE, aur regular expressions (REGEXP). (2.5 hrs)
• Day 6 — Result Organization: Multi-column ORDER BY, sorting mein nulls handle karna, LIMIT & OFFSET. (2 hrs)
• Day 7 — Comprehensive Functions (Part 1): String functions (CONCAT_WS, SUBSTRING, REPLACE, CHAR_LENGTH). (2.5 hrs)
• Day 8 — Comprehensive Functions (Part 2): Date arithmetic (DATEDIFF, TIMESTAMPDIFF, DATE_ADD, DATE_FORMAT). (2.5 hrs)
• Day 9 — Grouping & Aggregation: GROUP BY, HAVING, GROUP_CONCAT, ONLY_FULL_GROUP_BY errors avoid karna. (3 hrs)
• Day 10 — Relational Joins In-Depth: INNER, LEFT, RIGHT, CROSS, aur Anti-Joins. (3.5 hrs)
• Day 11 — Set Operations: UNION vs UNION ALL, schema compatibility rules, compound ordering. (2 hrs)
• Day 12 — Subqueries & Derived Tables: Scalar subqueries, multi-row IN, aur EXISTS vs NOT EXISTS. (3 hrs)
• Day 13 — Common Table Expressions (CTEs): Nested queries ko linear WITH pipelines mein transform karna. (3 hrs)
• Day 14 — Practical Capstone: Project 2 (Employee & Payroll System) aur Project 3 (Multi-Warehouse Inventory) complete karein. (4 hrs)

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3. The 30-Day Professional Course

End-to-end database mastery seekhne wale full-stack developers, backend engineers, aur business intelligence analysts ke liye designed.

Week 1: Schema Architecture & Data Ingestion (Days 1–7)

• Day 1: Relational Algebra, RDBMS Architecture & MySQL Client Installation.
• Day 2: DDL Statements: CREATE, ALTER, DROP, RENAME, TRUNCATE.
• Day 3: Physical Data Types: Fixed vs Floating Point (DECIMAL vs FLOAT), VARCHAR vs CHAR.
• Day 4: Constraints & Relational Integrity (PRIMARY KEY, FOREIGN KEY, CHECK, DEFAULT).
• Day 5: DML Operations: Multi-row INSERT, ON DUPLICATE KEY UPDATE (UPSERT), Safe UPDATE/DELETE.
• Day 6: Core Retrieval: SELECT, Column Aliases, Expressions, aur DISTINCT.
• Day 7: Weekly Review & Assessment: Section 1 aur Section 2 exercises solve karein (Problems 1–60).

Week 2: Querying, Functions & Grouping (Days 8–14)

• Day 8: Advanced Filtering: Three-Valued Logic (3VL), IS NULL, BETWEEN, IN, LIKE, REGEXP.
• Day 9: Result Set Shaping: Deterministic ORDER BY, Nulls sorting emulation, LIMIT ... OFFSET.
• Day 10: Text Processing Functions: CONCAT_WS, SUBSTRING, INSTR, TRIM, LPAD, CHAR_LENGTH.
• Day 11: Temporal Processing: NOW(), DATEDIFF, TIMESTAMPDIFF, DATE_ADD, DATE_FORMAT.
• Day 12: Mathematical & Conditional Functions: ROUND, TRUNCATE, MOD, COALESCE, NULLIF, CASE.
• Day 13: Grouping & Summaries: Multi-column GROUP BY, HAVING, WITH ROLLUP, GROUPING().
• Day 14: Mid-Course Milestone: Project 1 (Student Academy) aur Project 2 (Corporate HR) complete karein.

Week 3: Relational Joins, Sets & Nested Queries (Days 15–21)

• Day 15: Relational Joins: INNER JOIN, LEFT JOIN, aur Multi-Table Join pipelines (3+ tables).
• Day 16: Advanced Joins: Self JOIN (hierarchies), Anti-Joins, aur FULL OUTER JOIN emulation.
• Day 17: Set Operations: UNION vs UNION ALL, compound limits aur ordering rules.
• Day 18: Subqueries: Scalar, Multi-Row (IN, ALL, ANY), aur FROM clause mein Table Derived Subqueries.
• Day 19: Correlated Subqueries & Short-Circuit EXISTS / NOT EXISTS.
• Day 20: Common Table Expressions (CTEs): Non-Recursive CTEs aur modular query design.
• Day 21: Weekly Review & Assessment: Section 5 aur Section 6 exercises solve karein (Problems 121–180).

Week 4: Database Design, Views & Programmability (Days 22–30)

• Day 22: Database Design: Conceptual to Physical, ER Modeling, Crow's Foot Notation, Cardinalities.
• Day 23: Normalization Theory: Anomalies, Functional Dependencies, 1NF, 2NF, 3NF, BCNF.
• Day 24: Controlled Denormalization & OLAP Star Schema Dimensional Modeling.
• Day 25: Views: Security Data Masking, Updatable Views, WITH CHECK OPTION.
• Day 26: Stored Procedures: DELIMITER, IN/OUT/INOUT, IF-THEN-ELSE, error handlers.
• Day 27: Stored Functions: Deterministic UDFs, return values, comparison with procedures.
• Day 28: Triggers: BEFORE/AFTER, NEW/OLD images, audit logging, SIGNAL SQLSTATE.
• Day 29: Capstone Engineering: Project 4 (Enterprise E-Commerce Platform) complete karein.
• Day 30: Final Evaluation: 50 Intermediate Interview Questions complete karein (Questions 51–100).

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4. The 60-Day Mastery Course

Engine mechanics, query optimization, aur high-concurrency systems ki deep internal knowledge require karne wale Senior Database Engineers, Tech Leads, aur Data Architects ke liye designed.

• Days 1–15: 30-Day roadmap ke Days 1–15 ki comprehensive coverage.
• Days 16–30: 30-Day roadmap ke Days 16–30 ki comprehensive coverage.
• Days 31–34 — InnoDB Storage Engine Internals:
  • Clustered Index B+ Tree mechanics, page structure (16KB pages), page splits, aur fragmentation.
  • Secondary index mechanics aur bookmark lookups.
  • Doublewrite buffer, adaptive hash indexes, aur Buffer Pool memory management.
• Days 35–38 — Modern Analytics: Window Functions In-Depth:
  • ROW_NUMBER(), RANK(), DENSE_RANK(), aur NTILE().
  • Value navigation: LAG(), LEAD(), FIRST_VALUE(), LAST_VALUE().
  • Window frames: ROWS vs RANGE, cumulative running totals, rolling moving averages.
• Days 39–42 — Hierarchical Queries & Semi-Structured Data:
  • Recursive CTEs: tree hierarchies, organizational charts, aur bill-of-materials graphs traverse karna.
  • Native JSON operations: path extraction (->, ->>), JSON_OBJECT, JSON_ARRAYAGG.
  • Virtual Generated Columns aur JSON documents indexing.
• Days 43–47 — Transactions, Isolation Levels & Concurrency:
  • ACID properties aur physical enforcement (Undo Log vs Redo Log).
  • Concurrency phenomena: Dirty Reads, Non-Repeatable Reads, Phantom Reads.
  • Transaction isolation levels: READ UNCOMMITTED se SERIALIZABLE tak.
  • InnoDB mein Multi-Version Concurrency Control (MVCC).
• Days 48–52 — Locking Mechanics & Deadlocks:
  • Shared (S) vs Exclusive (X) locks, SELECT ... FOR UPDATE, SELECT ... FOR SHARE.
  • Record locks, Gap locks, aur Next-Key locking mechanics.
  • Deadlocks diagnose, simulate, aur mitigate karna (Error 1213); lock timeout tuning.
• Days 53–56 — Performance Tuning & Query Optimization:
  • Decoupling query execution: Cost-Based Optimizer (CBO), stats generation.
  • EXPLAIN aur EXPLAIN ANALYZE: iterator trees, actual time, loops, aur costs interpret karna.
  • SARGability principles: non-SARGable functions ko index-seekable filters mein convert karna.
  • Covering Indexes design karna (Extra: Using index) aur Using filesort eliminate karna.
• Days 57–58 — Enterprise Security & Disaster Recovery:
  • Role-Based Access Control (RBAC), host-based identities, GRANT/REVOKE.
  • SQL Injection anatomy aur prepared statements parameterized defense.
  • mysqldump --single-transaction ka use karke online logical backups.
• Days 59–60 — Capstone Mastery:
  • Project 5 build karein (Enterprise Sales Analytics Star Schema Data Mart).
  • 50 Advanced Interview Questions complete karein (Questions 101–150).